Senior Full Stack Developer
Undisclosed company
SeniorFull-timeSoftware engineering
Confirmed open at the employer 18 hours ago · Posted 18 hours ago
Requirements
typescriptpythonnestjsllmprompt engineeringragsystem designdatabase designpostgresqlawsazuregcpdistributed systemstemporal iostep functions
Nice to have
cyber securityvulnerability managementcloud securitybedrockterraformkubernetesinfrastructure as code
Job description
We are looking for a Senior Backend AI Developer to architect and build the intelligent backbone of our platform: the multi-agent investigation pipeline, the data layer that consolidates signals from cloud providers and security tools, and the orchestration layer that ties it all together. You will work at the intersection of backend engineering and applied AI, designing systems that are durable, scalable, and smart enough to reason about complex cloud security environments.
What You'll Do:
Design and build the backend services that power Copperhelm's AI-driven investigation and remediation engine.
Architect and evolve a multi-agent system where specialized AI agents collaborate to investigate, prioritize, and resolve cloud security findings autonomously.
Build and optimize agent workflows using the Claude Agent SDK and Temporal.io for durable, orchestrated execution of long-running investigations.
Design and maintain the LLM inference pipeline, including prompt engineering, output validation, and integration with Amazon Bedrock.
Collaborate with product and engineering to translate threat models and investigation playbooks into automated agent workflows.
Make critical architectural decisions on agent boundaries, coordination patterns, data models, and scaling strategies.
What You'll Do:
Design and build the backend services that power Copperhelm's AI-driven investigation and remediation engine.
Architect and evolve a multi-agent system where specialized AI agents collaborate to investigate, prioritize, and resolve cloud security findings autonomously.
Build and optimize agent workflows using the Claude Agent SDK and Temporal.io for durable, orchestrated execution of long-running investigations.
Design and maintain the LLM inference pipeline, including prompt engineering, output validation, and integration with Amazon Bedrock.
Collaborate with product and engineering to translate threat models and investigation playbooks into automated agent workflows.
Make critical architectural decisions on agent boundaries, coordination patterns, data models, and scaling strategies.
Requirements:
7+ years of professional experience building production backend systems in TypeScript or Python (we use TypeScript / NestJS).
Hands-on experience designing and integrating AI/LLM-powered features, including prompt engineering, agent frameworks, or RAG patterns.
Strong understanding of multi-agent system design: agent decomposition, inter-agent communication, tool use, and orchestration patterns.
Strong proficiency in relational database design (PostgreSQL).
Experience with cloud infrastructure (AWS, Azure, or GCP) in production environments.
Experience with workflow orchestration or distributed systems (Temporal.io, Step Functions, or similar durable execution framewrks).
Proven ability to take full ownership of complex backend systems, from design through production operations.
A team-player mindset: you communicate clearly, give and receive feedback well, and thrive in a collaborative, fast-paced environment.
Nice to Have:
Experience with cybersecurity, vulnerability management, or cloud security posture management.
Familiarity with the Anthropic Claude API, Claude Agent SDK, or Amazon Bedrock.
Background in building multi-agent systems or autonomous AI pipelines in production.
Experience with Terraform, Kubernetes, or infrastructure-as-code in production environments.
7+ years of professional experience building production backend systems in TypeScript or Python (we use TypeScript / NestJS).
Hands-on experience designing and integrating AI/LLM-powered features, including prompt engineering, agent frameworks, or RAG patterns.
Strong understanding of multi-agent system design: agent decomposition, inter-agent communication, tool use, and orchestration patterns.
Strong proficiency in relational database design (PostgreSQL).
Experience with cloud infrastructure (AWS, Azure, or GCP) in production environments.
Experience with workflow orchestration or distributed systems (Temporal.io, Step Functions, or similar durable execution framewrks).
Proven ability to take full ownership of complex backend systems, from design through production operations.
A team-player mindset: you communicate clearly, give and receive feedback well, and thrive in a collaborative, fast-paced environment.
Nice to Have:
Experience with cybersecurity, vulnerability management, or cloud security posture management.
Familiarity with the Anthropic Claude API, Claude Agent SDK, or Amazon Bedrock.
Background in building multi-agent systems or autonomous AI pipelines in production.
Experience with Terraform, Kubernetes, or infrastructure-as-code in production environments.
This position is open to all candidates.
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